Miami Hurricanes
2026 Team Stats (31 games)
69.6
PPG
66.5
Opp
+3.1
Margin
43.4%
FG%
30.7%
3P%
67.1%
FT%
38.2
RPG
13.4
APG
14.3
TO
82.4
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1038 (#142) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.1 (#60) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.631 (#110) | AdjO 67.4 | AdjD 61.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.900 (#71) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.866 (#78) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1103 (#136) | RD 112 | GP 31 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Kyle
|
C | 30 | 29.9 | 16.0 | 10.7 | 1.8 | 0.4 | 0.6 | 3.2 | 10.8 | 15.6 | -72 | -3.4 | -4.5 | 56.0 | 0.0 | 70.7 | -0.68 | 60.5 | 56.0 |
G. Raviv
|
G | 29 | 33.0 | 14.1 | 2.6 | 4.0 | 1.4 | 0.2 | 3.4 | 13.8 | 5.1 | -83 | -4.4 | -5.3 | 40.9 | 30.1 | 78.8 | -0.18 | 48.2 | 45.9 |
A. Kimpson
|
G | 31 | 31.5 | 11.9 | 2.0 | 1.8 | 1.3 | 0.2 | 1.1 | 10.2 | 5.9 | -43 | -2.0 | -2.5 | 42.6 | 34.1 | 76.7 | -0.74 | 53.0 | 49.5 |
A. Adams
|
G | 31 | 29.3 | 8.7 | 4.8 | 2.9 | 1.4 | 0.0 | 1.8 | 8.1 | 7.9 | -21 | -1.0 | -1.3 | 42.5 | 25.4 | 62.5 | 1.95 | 48.4 | 45.8 |
V. Blasigh
|
G | 29 | 20.6 | 6.3 | 1.1 | 1.0 | 0.6 | 0.2 | 1.1 | 5.6 | 2.5 | 25 | 1.3 | 2.2 | 39.9 | 36.9 | 75.0 | 3.2 | 53.8 | 52.5 |
J. Peterson
|
C | 4 | 15.0 | 5.0 | 6.0 | 0.2 | 0.0 | 0.8 | 0.8 | 4.5 | 6.8 | 3 | 0.6 | 1.1 | 50.0 | 0 | 40.0 | 0.26 | 49.5 | 50.0 |
N. Wetzel
|
F | 31 | 18.1 | 4.4 | 3.3 | 0.5 | 0.4 | 0.3 | 0.6 | 3.7 | 4.6 | 11 | 0.5 | 1.1 | 45.2 | 32.8 | 68.8 | 0.72 | 55.3 | 53.9 |
S. Okolo
|
F | 31 | 11.7 | 3.5 | 2.9 | 0.2 | 0.4 | 0.4 | 0.6 | 2.9 | 3.9 | -2 | -0.1 | -0.3 | 44.0 | 0.0 | 59.6 | 2.24 | 48.4 | 44.0 |
D. Osho
|
F | 27 | 15.0 | 2.6 | 3.1 | 0.6 | 0.6 | 0.2 | 0.7 | 3.6 | 2.8 | -60 | -3.3 | -9.2 | 28.1 | 18.6 | 42.9 | -2.74 | 33.7 | 32.3 |
S. Pelish
|
G | 10 | 4.8 | 1.6 | 0.4 | 0.3 | 0.1 | 0.1 | 0.1 | 1.0 | 1.4 | 16 | 1.5 | 7.7 | 40.0 | 57.1 | 66.7 | 0.31 | 63.3 | 60.0 |
M. Tippner
|
G | 30 | 8.4 | 1.6 | 1.3 | 0.6 | 0.5 | 0.1 | 0.8 | 1.7 | 1.6 | 55 | 2.5 | 10.6 | 33.3 | 30.8 | 62.5 | 1.99 | 41.4 | 37.3 |
C. Kpetikou
|
C | 29 | 7.3 | 1.4 | 2.4 | 0.2 | 0.0 | 0.2 | 0.8 | 1.4 | 2.0 | 28 | 1.5 | 7.6 | 42.9 | 0 | 25.0 | 1.71 | 40.8 | 42.9 |
M. Kone
|
F | 9 | 4.4 | 0.9 | 0.9 | 0.2 | 0.1 | 0.0 | 0.0 | 1.6 | 0.6 | 17 | 1.7 | 16.5 | 21.4 | 9.1 | 50.0 | 1.09 | 26.9 | 25.0 |
Camille Williams
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 12 | 1.2 | 12.5 | - | - | - | 1.35 | - | - |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG